Jobs at Anthropic

Advise technology companies on building products with Claude. Responsibilities include hands-on customer engineering, pair programming, architecture reviews, code contributions, LLM application prototyping, evaluation framework development, technical documentation, developer content, workshops, hackathons, and collaboration with Product and Engineering teams. Travel to customer sites is required for implementation support and relationship building.

Manages Anthropic’s Technical Deployment team for Financial Services, overseeing enterprise AI engagement portfolios from scoping through production deployment. Responsibilities include hiring and developing Technical Deployment Leads, ensuring delivery quality, managing executive customer relationships, staffing engagements, leading complex deployments, establishing technical playbooks and evaluation frameworks, partnering with Sales and Marketing, and translating field insights into product and research strategy. The role requires 25–50% travel to customer sites.

Guide UK enterprise customers through AI evaluations, proofs of value, procurement, and Claude deployment. Advise engineering teams on architecture, agent design, evaluation, security, compliance, and scale; present business cases to executive stakeholders; coordinate with account executives, architects, product, engineering, and systems integration partners; and provide technical guidance throughout implementation.

Serve as a pre-sales technical architect for Anthropic’s global and regional system integrator and cloud partners. Develop industry-specific generative AI solutions, reference architectures, and deployment best practices; support strategic customer deals; troubleshoot complex technical issues; enable partner engineering teams; lead technical workshops, hackathons, and events; and relay partner feedback to inform product and go-to-market strategies.

Manage complex enterprise deals by analyzing profitability, pricing, discounts, contract terms, and financial risks. Partner with sales, finance, legal, and compliance teams to structure deals, oversee approvals, implement pricing and deal policies, and develop scalable workflows. Maintain deal documentation and report on strategy metrics. The role requires strong financial modeling, stakeholder management, process improvement, and experience with CRM, CPQ, and contract management tools in a complex technology or SaaS environment.

Serve as a technical advisor to high-growth companies building products with Claude. Partner with engineering teams through pair programming, architecture reviews, code contributions, prototypes, evaluation frameworks, documentation, and scalable AI application design. Create developer resources, identify cross-engagement patterns, support hackathons and workshops, and collaborate with Anthropic’s product and engineering teams. The role requires production LLM application experience, strong Python skills, customer-facing communication, and travel to customer sites.

Partner with startup founders and engineering teams to architect, evaluate, deploy, and scale LLM applications on the Claude Developer Platform. Serve as a technical advisor throughout adoption, lead technical evaluations, develop AI performance frameworks, communicate customer insights to Product and Engineering, and represent Anthropic at customer sites and industry events.

Own a portfolio of 10–30 partner-delivered customer engagements across EMEA, from partner matching through completion. Monitor delivery quality, customer Claude usage, timelines, blockers, and account risk; lead reviews, escalations, unblocking, executive relationships, funding decisions, and partner practice development. Create reusable delivery methodologies, run quarterly business reviews, enable partners, coordinate cross-functional handoffs, and use data and AI tools to improve outcomes and scale Partner Success operations.

Partner with EMEA go-to-market teams on financial strategy, resource allocation, revenue goals, sales capacity planning, deal desk analysis, and marketing spend returns. Build financial models, forecasts, and reports; identify trends, risks, and opportunities; and present actionable insights to stakeholders and executives. Collaborate with strategic finance, FP&A, and accounting teams to align GTM plans with broader financial objectives in a high-growth, multi-entity, multi-currency environment.

Drive enterprise adoption of Claude Code by leading technical workshops, proofs of concept, evaluations, pilots, and rollout support. Partner with account executives, solution architects, and product engineers to understand customer workflows, configure development environments, demonstrate productivity gains, build technical champions, create demos and technical content, troubleshoot issues, and provide product feedback.

Build and deploy production AI applications using Claude models within enterprise customer environments. Develop MCP servers, sub-agents, and agent skills; provide deployment support; identify repeatable implementation patterns; and collaborate with Product and Engineering. The role requires customer discovery, technical solution development, strong communication, autonomous execution, and frequent travel to customer sites.

Serve as the primary technical advisor for life sciences institutions adopting Claude. Translate scientific workflows into AI solutions, lead deployments and cohort accelerators, develop demos and scalable documentation, identify ecosystem-level product opportunities, and inform benchmarks, evaluations, MCP servers, and reusable agent skills. Build trusted relationships with academic, biotech, pharma, and mission-driven organizations while helping shape the growing Applied AI team.

Lead International Partnership Strategy and Operations across UKI, EMEA, India, Japan, and APAC. Own regional GTM strategy, partner coverage, quota design, capacity modeling, targets, forecasting, operating rhythms, and executive reporting. Develop operating handbooks and lead cross-regional initiatives involving OKRs, investment cases, long-range planning, and global partnership operations. Serve as a strategic partner to international partnerships leadership while improving accountability and execution across the organization.

Lead the sales team for EMEA at Anthropic, focusing on partnerships with nonprofits and educational institutions. Drive revenue while building and managing a high-performing team. Navigate complex sales cycles and stakeholder ecosystems to achieve strategic goals.

Leads the Review Tooling engineering team building investigation, enforcement, analytics, privacy-preserving, and sandbox platforms. Defines the product vision and roadmap, scales human review through Claude-assisted automation, partners with policy, operations, legal, privacy, and data science teams, and ensures reliable systems align with data retention commitments. Responsible for hiring, coaching, technical strategy, stakeholder communication, and engineering-wide initiatives.

Build and operate large-scale observability infrastructure, including telemetry pipelines, instrumentation libraries, eBPF tracing, continuous profiling, cross-signal correlation, unified query tools, and AI-assisted diagnostics. Improve reliability, efficiency, detection, and incident resolution across massive GPU, TPU, and Trainium infrastructure while partnering with research, inference, product, and infrastructure teams.

Own Anthropic’s global reseller enablement motion, including strategy, certification, training, onboarding, localization, and product-readiness programs. Build the curriculum and delivery network from scratch, train reseller and internal sellers, establish governance and feedback loops, and measure certification, activation, pipeline, and consumption outcomes. Partner cross-functionally with Partnerships, Sales, Applied AI, Partner Operations, Marketing, and Certification while scaling programs across regions and languages.

Lead executive AI strategy engagements with major EMEA enterprises. Responsibilities include conducting executive briefings, shaping AI adoption visions, developing strategic positioning, value cases, proposals, success plans, and reusable industry content. Advise leaders on regulatory considerations including the EU AI Act, GDPR, DORA, and data sovereignty, while partnering with Sales and Applied AI to maintain deal momentum and support execution. The role requires frequent travel across EMEA and engagement with C-suite stakeholders in regulated industries.

Serve as a pre-sales technical advisor for enterprise customers, translating business needs into scalable LLM architectures using Claude. Lead technical discovery, develop evaluations, design integrations with enterprise systems, create tailored technical content, and coordinate across Sales, Product, and Engineering to drive deployments and adoption. Provide occasional on-site workshops and maintain expertise in LLM capabilities and implementation patterns.

Build internal full-stack products across backend, frontend, and infrastructure. Work directly with users to identify needs, create reusable platforms and abstractions, make product and prioritization decisions, and independently ship solutions. Continuously iterate based on feedback while empowering less-technical users. The role requires strong systems thinking, comfort with ambiguity, and proficiency in Python, TypeScript, and React.